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Modelling the photooxidation of ULP,E5 and E10 in the CSIRO smog chamber
Authors:Stephen J White  Merched Azzi  Dennys E Angove  Ian M Jamie
Institution:1. CSIRO Energy Technology, Locked Bag 2007, Kirrawee, NSW 2232, Australia;2. Department of Chemistry and Biomolecular Sciences, Macquarie University, NSW 2109, Australia;1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing 100029, China;2. University of the Chinese Academy of Sciences, Beijing 100049, China;3. Anhui Meteorological Bureau, Hefei 230061, China;1. Centre for Sustainable Infrastructure, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia;2. University of Minho, C-TAC Research Centre, Guimarães, Portugal;3. Gaziantep University, Civil Engineering Department, Gaziantep, Turkey;1. School of Mechanical and Mining Engineering, University of Queensland, St Lucia 4072, Australia;2. CSIRO Energy Technology, Newcastle 2304, Australia
Abstract:The photooxidation of fuel vapour was investigated in a smog chamber and simulated using three chemical mechanisms, the Master Chemical Mechanism (MCMv3.1), SAPRC-99 and the Carbon Bond chemical mechanism (CB05). Three varieties of fuel were used, unleaded petrol (ULP) and two ULP-ethanol blends which contained 5% and 10% ethanol (E5, E10). The fuel vapours were introduced into the chamber using two methods, by injecting the vapours from wholly evaporated fuel directly, and by injecting the headspace vapour from fuel equilibrated at 38 °C. The chamber experiments were simulated using the selected mechanisms and comparisons made with collected experimental data.The SAPRC-99 mechanism reproduced Δ(O3–NO) more accurately for almost all fuel types and injection modes, with negligible model error for both injection modes. The average model error for MCM simulations was ?16% and for CB05 the average model error was ?34%. The predictions for the CB05 mechanism varied depending on injection mode, the Δ(O3–NO) model error for wholly evaporated experiments was ?44%, compared to ?24% for headspace vapour experiments. The difference in aromatic content between experiments of different injection modes was likely to be the cause of the difference in model error for CB05. The model error for all headspace experiments was dependent upon the initial carbon monoxide concentrations.The results for Δ(O3–NO) were matched by the prediction of other key products, with formaldehyde predicted to within 20% by both SAPRC and the MCM. The addition of ethanol to the base SAPRC mechanism altered the predictions of Δ(O3–NO) by less than 2%. Changes observed in the concentrations of formaldehyde and acetaldehyde were consistent with the expected yields from ethanol oxidation.
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